ASUS System Product Name
Geekbench AI Score
31101
Single Precision Score
44645
Half Precision Score
23897
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ageva |
| Upload Date | August 15 2024 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11839
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
16186
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10192
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18545
300.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22753
368.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17103
278.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
255497
298.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
482022
562.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
227144
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
15188
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
21057
1.67 KIPS |
|
|
Object Detection (Q)
|
89% |
13243
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
39603
470.6 IPS |
|
|
Face Detection (HP)
|
100% |
48806
579.9 IPS |
|
|
Face Detection (Q)
|
97% |
33911
404.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
74544
574.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142024
1.09 KIPS |
|
|
Depth Estimation (Q)
|
70% |
55420
464.2 IPS |
|
|
Style Transfer (SP)
|
100% |
379652
488.0 IPS |
|
|
Style Transfer (HP)
|
100% |
838443
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
334368
431.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51363
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68499
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39507
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2070
46.2 IPS |
